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NeuroPaint is an autoencoder for inpainting neural dynamics in the unrecorded brain areas by stitching multi-session multi-area Ephys neural data.
Behavioral analysis via self-supervised pretraining of transformers
A simple and efficient Mamba implementation in pure PyTorch and MLX.
Simple yet efficient linear encoding model.
AI wearables. Put it on, speak, transcribe, automatically
Code repository for emg2pose dataset and model benchmarks
A surface electromyographic (sEMG) touch typing dataset with baselines. https://arxiv.org/abs/2410.20081.
A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training
Backend for Real-time Asynchronous Neural Decoding (BRAND)
Time series data contribution via influence functions
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
Collection of Summer 2026 tech internships!
Reproducing TracIn (Tracing Gradient Descent) using PyTorch
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
A middle-to-high level open source algorithm book designed with coding interview at heart!
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather,…
Public datasets for time series anomaly detection
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python
Code related to the brainwide map paper
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Pointnet++ modules implemented as tensorflow 2 keras layers.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)